broken_bert
Built by Ilseyar-kfu, broken_bert is an chat model. broken_bert is an open-weights chat model.
by Ilseyar-kfu
Best for
Ways to use broken_bert in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Ilseyar-kfu API key. osFoundry discovers broken_bert automatically — assign it to a Maestro role (router, direct, orchestrator, or fallback) in the Pipeline tab and it is live in every chat. Your key, your provider account — no token markup.
Deploy a dedicated endpoint
broken_bert is open-weights — run it locally for free, or deploy a dedicated GPU endpoint in your workspace for reserved capacity with no rate limits.
Use it in a Room App
Room Apps declare AI features in their manifest, then call them with invokeAI:
import { invokeAI } from '@osfoundry/app-sdk'
// 'summarize' is an AI feature declared in your app manifest.
const result = await invokeAI('summarize', userText)
Call it from your own apps
Once a model is wired into your workspace you can host it as an API and reach it from your own services, scripts, or CI — outside osFoundry.
broken_bert vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about broken_bert
Is broken_bert free to use?
broken_bert is free to run locally on your own hardware. Hosted access through osFoundry is metered (input Free (local), output Free (local)). You can switch between local and hosted at any time.
Can I use broken_bert commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
Can I run broken_bert locally?
Yes. broken_bert is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is broken_bert best at?
broken_bert is well-suited to text classification.
How do I use broken_bert in osFoundry?
Paste your Ilseyar-kfu API key in the key dialog (or deploy the open weights for self-hostable models), assign broken_bert to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Ilseyar-kfu on May 7, 2025. Source: https://huggingface.co/Ilseyar-kfu/broken_bert